DocumentCode :
2871874
Title :
Towards Non-invasive Adaptive Meta-Cognitive Support for Online Training
Author :
Moore, Adam ; Conlan, Owen ; Dagger, Declan ; Wade, Vincent
Author_Institution :
Sch. of Comput. Sci. & Stat., Trinity Coll. Dublin, Dublin, Ireland
fYear :
2011
fDate :
6-8 July 2011
Firstpage :
541
Lastpage :
542
Abstract :
Online training is an increasingly important facet of the skills enhancing portfolio of any organization and has an especial place within life-long learning, career development and other self-regulated adult learning. We here present an overview of work towards developing online training, which is augmented by contextual cues, training which is personalized and adapted, in real-time, towards the learning objectives of the user, whilst supporting a wide range of meta-cognitive activities. This work brings technologies developed for the fantastical scenarios of serious gaming into the ´real world´ - we also begin to address some of the underlying challenges in this transition.
Keywords :
cognition; computer based training; computer games; continuing professional development; career development; contextual cues; learning objectives; life-long learning; noninvasive adaptive meta-cognitive support; online training; organization portfolio; self-regulated adult learning; serious gaming; Artificial intelligence; Conferences; Games; Real time systems; Training; Digital Electronic Games; Training; adaptation; contextually aware; metacognition; multi-adaptive; non-invasive; personalisation; real-time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
Conference_Location :
Athens, GA
ISSN :
2161-3761
Print_ISBN :
978-1-61284-209-7
Electronic_ISBN :
2161-3761
Type :
conf
DOI :
10.1109/ICALT.2011.166
Filename :
5992394
Link To Document :
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